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Principal Data Architect

Experis
London, City And County Of the City Of London, United Kingdom
Yesterday
£700 – £800 pd

Salary

£700 – £800 pd

Job Type
Contract
Work Pattern
Full-time
Work Location
Remote
Seniority
Lead
Education
Degree
Security Clearance
Required
Posted
3 Jun 2026 (Yesterday)
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Principal Data Architect

Location: Remote

Duration: 6 months

£700 - £800 per day - Umbrella only

Our client is looking for Principal Data Architect for Data Science family under DSF as part of Professional services sell. This request for NGET under the department of Customer Network Development.

Job Purpose:

The Principal Data Architect role is to define the architecture and solution designs of data products across the NGET FUNCTIONS business area and position these designs in line with broader solution architecture and portfolio prioritizations. The core role is involved in the development of a data product from conception through to final delivery and across the product lifecycle for data products within the domain. They will be responsible for achieving optimal results, conforming to standards for but not limited to quality, safety and sustainability. In doing so, they ensure compliance with the defined scope, performance, cost, ROI and schedule through agile delivery and ways of working. The role forms part of the data product teams within a business unit delivery vehicle in NGET and is crucial in delivering the data strategy in line with the clients vision "To be at the heart of a clean, fair and affordable energy future" by ensuring data is available to bring that vision to life. The Principle Data Architect will play a pivotal role in operationalizing the most-urgent data and analytics initiatives for NGET FUNCTIONS's strategic initiatives. This role presents an opportunity for someone with a passion for data architecture to work within our data interoperability team. It has several facets …

Planning, designing, developing, and maintaining the data architecture and standards for various Data Integration projects.

Ensure new features and subject areas are modelled to integrate with existing structures.

Develop and maintain documentation of the data integration patterns, data flows, data standards, data architecture.

Provide direction on adoption of modern cloud technologies (i.e., Fabric, Snowflake, Azure) and adopt industry best practices.

Play key role in selecting enterprise data tools.

Keen eye to deliver project deliverables that are concerned with architecture, security, and integration features.Extensive knowledge

Data platforms - Fabric, Snowflake, CosmoDB, DataBricks, MongoDB, RDBMS

Data replication/CDC - Qlik Replicate, Oracle Golden Gate

Data modeling - ERStudio

Message-oriented data movement

API design and access

Data Analytics and AL/ML - AzureML

Data virtualization Streaming data

Data integration and ETL / ELT Tools - Matillion, Alteryx, Qlik

PowerBI

Machine Learning, Generative AI and Agentic AI.Strong experience

Must have prior experience with end-to-end implementation of Cloud data technologies (i.e.Fabric, Snowflake).

Expertise in data modelling, ELT and implementing complex stored Procedures.

Expertise in various Snowflake technologies like Snowpark, SnowPipe, SnowPipe Stream, Dynamic Tables, Document AI, Cortex Analytics, Unistore etc.

Expertise in Snowflake cost and query optimization including experience with CapitalOne Slingshot.

Expertise in advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, Zero copy clone, time travel and understanding of how to use these features.

Awareness in Data Migration from RDBMS, SAP systems, Salesforce, GIS, PI Historian to Snowflake.

Deep understanding of relational as well as NoSQL data stores, methods, and approaches (star and snowflake, dimensional modelling and third normal form)

Experience with data security and data access controls and design

Deep understanding of SoX, GDPR and Regulatory/CNI control environments

In-depth experience in providing resolution to an extensive range of complicated data pipeline related problems, proactively and as issues surface.

Demonstrable ability to troubleshoot problems across infrastructure, platform, and application domains. Controlling access to the data and the reports

Implementing Data security needs and implement security solutions

Working with the business intelligence / analytics teams to gather requirements for the database design and model

If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website

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